Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.probengmech.2013.01.006
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dc.titleStochastic hydroelastic analysis of pontoon-type very large floating structures considering directional wave spectrum
dc.contributor.authorPapaioannou, I.
dc.contributor.authorGao, R.
dc.contributor.authorRank, E.
dc.contributor.authorWang, C.M.
dc.date.accessioned2014-06-17T05:31:58Z
dc.date.available2014-06-17T05:31:58Z
dc.date.issued2013
dc.identifier.citationPapaioannou, I., Gao, R., Rank, E., Wang, C.M. (2013). Stochastic hydroelastic analysis of pontoon-type very large floating structures considering directional wave spectrum. Probabilistic Engineering Mechanics 33 : 26-37. ScholarBank@NUS Repository. https://doi.org/10.1016/j.probengmech.2013.01.006
dc.identifier.issn02668920
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/59220
dc.description.abstractThe hydroelastic response of pontoon-type very large floating structures (VLFS) is obtained by resolving the interaction between the surface waves and the floating elastic body. We carry out the analysis in the frequency domain, assuming that the surface waves can be described by a directional wave spectrum. The response spectra can then be computed by application of stationary random vibration analysis. Applying the modal expansion method, we obtain a discrete representation of the required transfer matrices for a finite number of frequencies, while the influence of the wave direction is obtained by numerical integration of the directional components of the spectrum. Moreover, assuming a Gaussian input, we can apply well known approximations to obtain the distribution of extremes. The method is applied to an example VLFS and the effect of different mean wave angles on the stochastic response is investigated. © 2013 Elsevier Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.probengmech.2013.01.006
dc.sourceScopus
dc.subjectDirectional spectrum
dc.subjectDistribution of extremes
dc.subjectHydroelasticity
dc.subjectRandom vibration
dc.subjectResponse statistics
dc.subjectVLFS
dc.typeArticle
dc.contributor.departmentCIVIL & ENVIRONMENTAL ENGINEERING
dc.description.doi10.1016/j.probengmech.2013.01.006
dc.description.sourcetitleProbabilistic Engineering Mechanics
dc.description.volume33
dc.description.page26-37
dc.description.codenPEMEE
dc.identifier.isiut000320748800004
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